An Experimental Analysis of Blockchain enabled Intelligent Healthcare Monitoring System using IoT based Deep Learning Principles

Abstract

In present days health assisted concern are more to every individuals and all are wish to monitor the health summaries frequently. But the practical complexity is quite different, in the sense the physical enrollments in hospitals and checkups are vague and it is a time consuming process. So, that a smart devices are introduced to assist people to check their health conditions instantly without any dependencies and hurdles. However, the devices are strucked up with certain extent and create some complexities in surveillance of individual's health. The general health monitoring schemes are associated with sensors and display their report to the display screen instantly without any delay. This is of course useful to individuals who wish to monitor their health by own, but in some cases the children are wish to monitor the health summary of their parents from remote places due to the job nature. The present schemes of health monitoring are not providing such sufficiency to monitor the health records properly from remote places. In order to fill such range based gap, an efficient interface called Internet of Things (IoT) is utilized in this health monitoring approach in association with Deep Learning Strategies. These innovative health assisted technologies are integrated together with the powerful data management technique called Blockchain. The interfacing of Blockchain enabled mechanisms is necessary to manipulate the continuous data acquired from Smart Device used to monitor the healthcare summary of the respective individual or patient. The proposed approach associates these multiple logics under the single consortium to provide an efficient support to patients in an efficient manner, in which the proposed technology is named as Blockchain enabled IoT Health Assistance (BIoTHA). The Smart Device associated with the proposed approach consists of several healths related sensors such as Heart Rate Monitoring Sensor, Body Positioning Identification Sensor and Body Temperature Monitoring Sensor. Based on these three Sensors the Smart Device is operating and accumulate the health related values from device end and pushing that detail to the remote server end without any delay. Further the process will be handled by the server end by means of Blockchain enabled technology. The concept of Blockchain is applied over this paper to identify the patient criteria based on age factors as well as improving the security concerns of the patient health monitoring system. The age factors of the patient are categorized into blocks and process the health related data based on the related blocks, so that the details can easily be processed and provide the exact status of the respective health records. The resulting section proves the efficiency of the proposed approach called BIoTHA in terms of data manipulation accuracy and health predictions accuracy.